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Field
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, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation explore and evaluate usability of system architectures such as
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Physics Economics Mathematics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
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REQUIREMENTS The Materials Science and Engineering Department, within the College of Earth and Mineral Sciences at Penn State is seeking a researcher to perform research under the direction of Professor Doug
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, Information Technology and Electrical Engineering Faculty (Steve Völler), Department of Architecture and Technology (Prof. Arild Gustavsen) About the project The PhD project is related to development of a new battery
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Analysis . We conduct research to find more sustainable technology solutions and ways to transform technological systems to meet the environmental and resource constraints faced by society. Our work is
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environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work bridges
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading